Rafi Dio
Universitas Maritim Raja Ali Haji

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Segmentasi Pelanggan Klinik Dokter Hewan Berbasis Algoritma K-Means dan Model RFM Rafi Dio; Meylia Vivi Putri; Dwila Sempi Yusiani; Andikha; Berta Erwin SLAM; Adyk Marga Raharja; Rifaldi Herikson
Jurnal Teknik Ibnu Sina (JT-IBSI) Vol. 10 No. 1 (2025): JT-IBSI (Jurnal Teknik Ibnu Sina)
Publisher : Fakultas Teknik Universitas Ibnu Sina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jt-ibsi.v10i1.1180

Abstract

This study aims to segment customers of a veterinary clinic using a combination of Recency, Frequency, Monetary (RFM) analysis and the K-Means clustering algorithm. Transactional data from December 2024 to April 2025 were processed to generate key customer features, followed by min-max normalization to ensure comparability across variables. The segmentation was conducted in AI Studio 2025, with cluster quality evaluated using cluster distance performance and Davies-Bouldin Index. The analysis resulted in four distinct customer segments: the majority were passive customers with low transaction frequency and spending, while a smaller group showed high purchasing activity and made a significant economic contribution. This study demonstrates the effectiveness of automated data mining tools in uncovering meaningful customer profiles in a veterinary service context. The results provide a practical basis for targeted marketing, customer retention strategies, and service improvement in veterinary clinics. This approach offers valuable insights for data-driven decision making and represents a novelty for veterinary service management in Indonesia. Keywords: Customer Segmentation, RFM Analysis, K-Means Clustering, Veterinary Clinic, Data Mining.
The The Effectiveness of Physics Practicum Simulations for First-Year University Students: Efektivitas Simulasi Praktikum Fisika pada Mahasiswa Tahun Pertama Dwila Sempi Yusiani; Meylia Vivi Putri; Rafi Dio
Jurnal Teknik Ibnu Sina (JT-IBSI) Vol. 10 No. 1 (2025): JT-IBSI (Jurnal Teknik Ibnu Sina)
Publisher : Fakultas Teknik Universitas Ibnu Sina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jt-ibsi.v10i1.1181

Abstract

The lack of laboratory facilities in the Industrial Engineering program poses challenges for conducting physics practicums. Practicum is an essential component of learning as it enhances conceptual understanding and student motivation. This study aims to determine the effectiveness of using PhET Simulation as a virtual laboratory tool to support student understanding of Hooke’s Law. A quantitative method was used with a one-group pretest-posttest design involving 31 first-year students. Data were collected through pretest and posttest assessments, and analyzed using descriptive statistics and N-Gain calculation. The results show an increase in the average score from pretest to posttest, with an N-Gain score of 0.36, categorized as moderate. These findings suggest that PhET Simulation is fairly effective in enhancing physics learning through visual and interactive approaches, especially in limited laboratory conditions. This study contributes to the development of technology-based learning media that can be implemented flexibly in higher education.